Object Detection using the ImageAI Library in Python
DOI:
https://doi.org/10.58429/pgjsrt.v2n2a143Keywords:
Python, OpenCV, Computer Vision, Image ProcessingAbstract
Recent progress in deep learning methods has shown that key steps in object detection and recognition, including feature extraction, region proposals, and classification, can be done using ImageAi libraries. Object detection is a computer vision technique that works to identify and locate objects within an image or video. Specifically, object detection draws bounding boxes around these detected objects, which allow us to locate where said objects are in a given scene. Object detection is commonly confused with image recognition, so before we proceed, it’s important that we clarify the distinctions between them. In that it aids in our comprehension and analysis of scenes in images or videos, object detection is intrinsically tied to other related computer vision techniques like image recognition and image segmentation. Significant variations. Image segmentation develops a pixel-level comprehension of a scene's elements while image recognition just produces a class label for an identified object. Object detection differs from these other jobs in that it has the capacity to specifically find objects inside an image or video. This enables us to count such things and later track them.
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Mohammed, M.A., et al.: Adaptive secure malware efficient machine learning algorithm for healthcare data. CAAI Trans. Intell. Technol. 1– 12 (2023). https://doi.org/10.1049/cit2.12200
Asaad, Renas Rajab. (2014). An Investigation of the Neuronal Dynamics Under Noisy Rate Functions. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.
Ur Rahman, A.; Saeed, M.; Saeed, M.H.; Zebari, D.A.; Albahar, M.; Abdulkareem, K.H.; Al-Waisy, A.S.; Mohammed, M.A. A Framework for Susceptibility Analysis of Brain Tumours Based on Uncertain Analytical Cum Algorithmic Modeling. Bioengineering 2023, 10, 147. https://doi.org/10.3390/bioengineering10020147
Asaad, R. R., Abdurahman, S. M., & Hani, A. A. (2017). Partial Image Encryption using RC4 Stream Cipher Approach and Embedded in an Image. Academic Journal of Nawroz University, 6(3), 40–45. https://doi.org/10.25007/ajnu.v6n3a76
D. A. Zebari, H. Haron, D. M. Sulaiman, Y. Yusoff and M. N. Mohd Othman, "CNN-based Deep Transfer Learning Approach for Detecting Breast Cancer in Mammogram Images," 2022 IEEE 10th Conference on Systems, Process & Control (ICSPC), Malacca, Malaysia, 2022, pp. 256-261, doi: 10.1109/ICSPC55597.2022.10001781.
Almufti, S., Marqas, R., & Asaad, R. (2019). Comparative study between elephant herding optimization (EHO) and U-turning ant colony optimization (U-TACO) in solving symmetric traveling salesman problem (STSP). Journal Of Advanced Computer Science & Technology, 8(2), 32.
Ibrahim, D. A., Zebari, D. A., Mohammed, H. J., & Mohammed, M. A. (2022). Effective hybrid deep learning model for COVID-19 patterns identification using CT images. Expert Systems, 39( 10), e13010. https://doi.org/10.1111/exsy.13010
Asaad, R. R., & Abdulnabi, N. L. (2018). Using Local Searches Algorithms with Ant Colony Optimization for the Solution of TSP Problems. Academic Journal of Nawroz University, 7(3), 1–6. https://doi.org/10.25007/ajnu.v7n3a193
M. A. Jubair et al., "A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs," in IEEE Access, vol. 10, pp. 124792-124804, 2022, doi: 10.1109/ACCESS.2022.3224466.
Asaad, R. R., & Ali, R. I. (2019). Back Propagation Neural Network(BPNN) and Sigmoid Activation Function in Multi-Layer Networks. Academic Journal of Nawroz University, 8(4), 216–221. https://doi.org/10.25007/ajnu.v8n4a464
Arshad, M.; Saeed, M.; Rahman, A.U.; Zebari, D.A.; Mohammed, M.A.; Al-Waisy, A.S.; Albahar, M.; Thanoon, M. The Assessment of Medication Effects in Omicron Patients through MADM Approach Based on Distance Measures of Interval-Valued Fuzzy Hypersoft Set. Bioengineering 2022, 9, 706. https://doi.org/10.3390/bioengineering9110706
Almufti, S., Asaad, R., & Salim, B. (2018). Review on elephant herding optimization algorithm performance in solving optimization problems. International Journal of Engineering & Technology, 7, 6109-6114.
Mohammed, H.J.; Al-Fahdawi, S.; Al-Waisy, A.S.; Zebari, D.A.; Ibrahim, D.A.; Mohammed, M.A.; Kadry, S.; Kim, J. ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification. Mathematics 2022, 10, 3530. https://doi.org/10.3390/math10193530
Asaad, R. R. (2021). Penetration Testing: Wireless Network Attacks Method on Kali Linux OS. Academic Journal of Nawroz University, 10(1), 7–12. https://doi.org/10.25007/ajnu.v10n1a998
D. A. Zebari, D. M. Sulaiman, S. S. Sadiq, N. A. Zebari and M. S. Salih, "Automated Detection of Covid-19 from X-ray Using SVM," 2022 4th International Conference on Advanced Science and Engineering (ICOASE), Zakho, Iraq, 2022, pp. 130-135, doi: 10.1109/ICOASE56293.2022.10075586.
Asaad, R. R. (2019). Güler and Linaro et al Model in an Investigation of the Neuronal Dynamics using noise Comparative Study. Academic Journal of Nawroz University, 8(3), 10–16. https://doi.org/10.25007/ajnu.v8n3a360
Al‐Waisy AS, Ibrahim DA, Zebari DA, Hammadi S, Mohammed H, Mohammed MA, Damaševičius R. 2022. Identifying defective solar cells in electroluminescence images using deep feature representations. PeerJ Computer Science 8:e992 https://doi.org/10.7717/peerj-cs.992
Rajab Asaad, R., & Masoud Abdulhakim, R. (2021). The Concept of Data Mining and Knowledge Extraction Techniques. Qubahan Academic Journal, 1(2), 17–20. https://doi.org/10.48161/qaj.v1n2a43
Asaad, R. R., Ahmad, H. B., & Ali, R. I. (2020). A Review: Big Data Technologies with Hadoop Distributed Filesystem and Implementing M/R. Academic Journal of Nawroz University, 9(1), 25–33. https://doi.org/10.25007/ajnu.v9n1a530
D. A. Zebari, S. S. Sadiq and D. M. Sulaiman, "Knee Osteoarthritis Detection Using Deep Feature Based on Convolutional Neural Network," 2022 International Conference on Computer Science and Software Engineering (CSASE), Duhok, Iraq, 2022, pp. 259-264, doi: 10.1109/CSASE51777.2022.9759799.
Rajab Asaad, R. (2021). Review on Deep Learning and Neural Network Implementation for Emotions Recognition . Qubahan Academic Journal, 1(1), 1–4. https://doi.org/10.48161/qaj.v1n1a25
Ferinia, R., Kumar, D.L.S., Kumar, B.S. et al. Factors determining customers desire to analyse supply chain management in intelligent IoT. J Comb Optim 45, 72 (2023). https://doi.org/10.1007/s10878-023-01007-8
Asaad, R. R., Abdulrahman, S. M., & Hani, A. A. (2017). Advanced Encryption Standard Enhancement with Output Feedback Block Mode Operation. Academic Journal of Nawroz University, 6(3), 1–10. https://doi.org/10.25007/ajnu.v6n3a70
Poornima, E., Muthu, B., Agrawal, R. et al. Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-15086-6
Abdulfattah, G. M., Ahmad, M. N., & Asaad, R. R. (2018). A reliable binarization method for offline signature system based on unique signer’s profile. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 14(2), 573-586.
Almufti, S. M. (2022). Vibrating Particles System Algorithm performance in solving Constrained Optimization Problem. Academic Journal of Nawroz University, 11(3), 231–242. https://doi.org/10.25007/ajnu.v11n3a1499
Almufti, S. M., Ahmad, H. B., Marqas, R. B., & Asaad, R. R. (2021). Grey wolf optimizer: Overview, modifications and applications. International Research Journal of Science, Technology, Education,and Management, 1(1),1-1.
Poornima, E., Muthu, B., Agrawal, R. et al. Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-15086-6
Asaad, R. R., Sulaiman, Z. A., & Abdulmajeed, S. S. (2019). Proposed System for Education Augmented Reality Self English Learning. Academic Journal of Nawroz University, 8(3), 27–32. https://doi.org/10.25007/ajnu.v8n3a366
Saman M. Almufti. (2022). Artificial Bee Colony Algorithm performances in solving Welded Beam Design problem. Computer Integrated Manufacturing Systems, 28(12), 225–237. Retrieved from http://cims-journal.com/index.php/CN/article/view/405
Asaad, R. R. (2020). Implementation of a Virus with Treatment and Protection Methods. ICONTECH INTERNATIONAL JOURNAL, 4(2), 28-34. https://doi.org/10.46291/ICONTECHvol4iss2pp28-34
M. Almufti, S. (2022). Hybridizing Ant Colony Optimization Algorithm for Optimizing Edge-Detector Techniques. Academic Journal of Nawroz University, 11(2), 135–145. https://doi.org/10.25007/ajnu.v11n2a1320
Boya Marqas, R., M. Almufti, S., & Rajab Asaad, R. (2022). FIREBASE EFFICIENCY IN CSV DATA EXCHANGE THROUGH PHP-BASED WEBSITES. Academic Journal of Nawroz University, 11(3), 410–414. https://doi.org/10.25007/ajnu.v11n3a1480
Almufti, S. (2022). Vibrating Particles System Algorithm: Overview, Modifications and Applications. ICONTECH INTERNATIONAL JOURNAL, 6(3), 1–11. https://doi.org/10.46291/ICONTECHvol6iss3pp1-11
Rajab Asaad, R., & Luqman Abdulnabi, N. (2022). A Review on Big Data Analytics between Security and Privacy Issue. Academic Journal of Nawroz University, 11(3), 178–184. https://doi.org/10.25007/ajnu.v11n3a1446
Yahya Hussien , A., & Rajab Asaad, R. (2022). Review on Social Media and Digital Security. Qubahan Academic Journal, 2(2), 1–4. https://doi.org/10.48161/qaj.v2n2a119
Asaad, R. R. (2022). Keras Deep Learning for Pupil Detection Method . Academic Journal of Nawroz University, 10(4), 240–250. https://doi.org/10.25007/ajnu.v10n4a1328
Asaad, R. R., & Segerey, R. I. (2018). School Management Application Using iOS. Academic Journal of Nawroz University, 7(4), 38–44. https://doi.org/10.25007/ajnu.v7n4a269
Asaad, R. R., Mustafa, R. F., & Hussien, S. I. (2020). Mortality Statistics and Cause of Death at Duhok City from The Period (2014-2019) Using R Language Data Analytics. Academic Journal of Nawroz University, 9(3), 1–7. https://doi.org/10.25007/ajnu.v9n3a699
Asaad, R. R. (2021). A Study on Instruction Formats on Computer Organization and Architecture. ICONTECH INTERNATIONAL JOURNAL, 5(2), 18-24. https://doi.org/10.46291/ICONTECHvol5iss2pp18-24
Asaad, R. R. (2021). Virtual reality and augmented reality technologies: A closer look. Virtual reality, 1(2).
Asaad, R. R. A Review: Emotion Detection and Recognition with Implementation on Deep Learning/Neural Network.
Asaad, R. R., Saeed, V. A., & Abdulhakim, R. M. (2021). Smart Agent and it’s effect on Artificial Intelligence: A Review Study. ICONTECH INTERNATIONAL JOURNAL, 5(4), 1-9.
Asaad, R. R. A Asaad, R. R. A Review: Emotion Detection and Recognition with Implementation on Deep Learning/Neural Network.
Asaad, R. R., & Saeed, V. A. (2022). A Cyber Security Threats, Vulnerability, Challenges and Proposed Solution. Applied Computing Journal, 2(4), 227-244. https://doi.org/10.52098/acj.202260
Renas Rajab Asaad. (2022). Support vector machine classification learning algorithm for diabetes prediction. International Research Journal of Science, Technology, Education, and Management, 2(2), 26–34. https://doi.org/10.5281/zenodo.6975670
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Copyright (c) 2023 Renas Rajab Asaad, Rasan Ismael Ali, Awaz Ahmad Shaban, Merdin Shamal Salih
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